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Executive Director - High Velocity Engineering Platforms

Labcorp1,598 open roles

Where
Durham NC
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Your applicationOpen nowExecutive Director - High Velocity Engineering PlatformsLabcorp · Durham NC

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The clock on this job

Early applications get read.

9.5% of postings close within 7 days. Measured by our own scanner across the market. Labcorp postings stay open a median of 6 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 9.5%7 days
  4. 15.6%14 days
  5. 33.9%30 days
This job: posted today

Labcorp median: 6 days open

The posting

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. Together, we’re improving health and improving lives.

Labcorp is seeking an Executive Director, High Velocity Engineering Platforms, to join our team in Durham, NC.

Work Schedule: Durham, NC / Hybrid | Full-time | Reports to: Senior Vice President of Platforms, AI & High Velocity Engineering | Travel: 40-50%

Job Responsibilities:

  • Lead the strategy, architecture, and delivery of enterprise AI engineering platforms that enable scalable, secure, reliable, and cost-effective AI capabilities across the organization.
  • Define and govern enterprise engineering frameworks, standards, tooling, libraries, CI/CD pipelines, runtime requirements, and developer experience patterns to ensure consistent and high-quality technology delivery.
  • Establish and advance developer experience capabilities, including reusable frameworks, templates, SDKs, and integrated workflows that accelerate solution development and improve time-to-value.
  • Lead enterprise integration capabilities, including APIs, connectors, and integration standards that enable reliable interoperability across applications, data platforms, AI services, and third-party technologies.
  • Architect and govern AI control plane capabilities, including policy enforcement, access management, model lifecycle controls, model provenance, security requirements, and operational controls.
  • Establish enterprise observability and operational standards, including Open Telemetry, service-level objectives, real-time monitoring, distributed tracing, dashboards, and incident response practices.
  • Enable scalable data science and AI engineering capabilities supporting experimentation, model deployment, feature management, inference, and production operations.
  • Advance agentic AI engineering practices by establishing lifecycle patterns, orchestration approaches, safety controls, and governance frameworks for enterprise agentic solutions.
  • Develop and execute AI engineering and platform roadmaps, establishing investment priorities, performance metrics, cost transparency, and technology strategies that accelerate business value.
  • Partners across Technology, Product, Data, Security, Privacy, Legal, and business functions to drive adoption, organizational change, governance, and compliance with enterprise standards.
  • Provide executive leadership for engineering organizations, including building and developing high-performing teams, managing budgets and resources, establishing KPIs, and representing platform strategy with senior leadership.
  • Evaluate emerging AI technologies, industry capabilities, opportunities, and risks and translate them into strategic platform investments and technology roadmap recommendations.
  • Promote operational excellence through effective management of technical debt, reliability engineering, DevOps/SRE practices, platform performance, security, and continuous improvement.

Minimum Qualifications

  • Bachelor's degree
  • 15 or more years of progressive experience in data, analytics, cloud, technology, platform engineering, AI, or digital transformation, including leadership of large-scale enterprise technology initiatives.
  • 10 or more years of experience leading multidisciplinary teams, with responsibility for organizational strategy, execution, operational performance, talent development, and budget management.
  • 10 or more years of experience defining and executing enterprise data, analytics, AI, cloud, or technology transformation strategies within large, complex, or highly regulated organizations.
  • 10 or more years of experience leading enterprise-scale modernization initiatives involving cloud platforms, data ecosystems, analytics, interoperability, AI/ML capabilities, and mission-critical technology services.
  • 10 or more years of experience partnering with executive and C-suite stakeholders to align technology strategy and investments with business priorities, lead organizational change, manage risk, and deliver measurable business outcomes.
  • 10 or more years of experience with data governance, privacy, security, regulatory compliance, and responsible AI principles within healthcare or other highly regulated environments.

Preferred Qualifications

  • MBA, Computer Science, Data Science, Engineering, Information Technology, Business Administration.
  • 10 or more years of experience in healthcare, diagnostics, life sciences, pharmaceutical, or other highly regulated industries.

Additional Job Standards

  • Programming & Technical Fluency: Expert-level proficiency across multiple programming languages, such as Python, Go, Java, and TypeScript, with the ability to understand, design, review, and provide strategic direction on complex codebases.
  • AI Engineering: Advanced knowledge of production AI systems, including model deployment, inference optimization, lifecycle automation, scalability, reliability, and operational effectiveness.
  • Executive Communication & Collaboration: Demonstrated ability to communicate complex technical strategies, recommendations, risks, and trade-offs to executive, technical, and business stakeholders and drive alignment across functions.
  • Customer & Business Acumen: Strong understanding of developer and business user needs, with a product-oriented approach to designing platforms and capabilities that promote adoption and measurable business value.
  • Agentic AI: Advanced knowledge of agentic AI design, orchestration patterns, lifecycle management, safety controls, and responsible approaches to developing and operating agent-based solutions.
  • Prompt & System Design: Advanced knowledge of prompt engineering, system design, and practices that support reliable, controlled, and effective AI solutions.
  • Architecture & Strategic Thinking: Demonstrated ability to design and guide large-scale, modular platform architectures that balance scalability, extensibility, performance, reliability, and security.
  • Cloud Technology: Advanced knowledge of cloud platforms, managed services, cost optimization, and hybrid deployment models supporting enterprise-scale solutions.
  • Technology Strategy & Foresight: Demonstrated ability to evaluate emerging technologies and industry trends, assess opportunities and risks, and translate insights into forward-looking platform strategies and investment priorities.

Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please click here.

Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.

We encourage all to apply

If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

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